KGNER: Improving Chinese Named Entity Recognition by BERT Infused with the Knowledge Graph

Recently, the lexicon method has been proven to be effective for named entity recognition (NER). However, most existing lexicon-based methods cannot fully utilize common-sense knowledge in the knowledge graph. For example, the word embeddings pretrained by Word2vector or Glove lack better contextual...

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Detalles Bibliográficos

Autores principales:	Weiwei Hu, Liang He, Hanhan Ma, Kai Wang, Jingfeng Xiao
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2022-07-01
Colección:	Applied Sciences
Materias:	named-entity recognition knowledge graph conditional random field
Acceso en línea:	https://www.mdpi.com/2076-3417/12/15/7702
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